Exploring Physics-Informed Neural Networks for the Generalized Nonlinear Sine-Gordon Equation

Figure 16

Train and test loss of PINN process for 15000 epochs (training iterations) for the neumann BCs case by using combined adam and L-BFGS-B optimization algorithms.